- Learn how companies are today using the Vortex IoT Data Sharing Platform to build autonomous and connected vehicle systems,
- Understand the common data sharing requirements for autonomous and connected vehicles,
- Learn about Vortex’s features that make it ideal for connected and autonomous vehicles.
Although Autonomous and connected vehicles may sound somewhat futuristic applications of the Internet of Things (IoT), the reality is that these systems are being built and operated today in special environments. The design of these systems pose some unique challenges due to the constraints imposed by the criticality of the applications and the heterogeneity of the deployment environments. To put it another way, autonomous connected vehicles should not crash into each other, nor into other vehicles, whilst at the same time have to deal with connectivity that changes depending on their location, e.g. connectivity in down-town San Francisco may not be the same as the connectivity experience in the Joshua Tree National Park.
This webcast will (1) showcase how PrismTech’s Vortex Data Sharing Platform based on the Object Management Group’s Data Distribution Service (DDS) standard is used today as the foundation of several autonomous and connected vehicles, (2) summarize the key requirements characteristic of these types of application, and (3) introduce the Vortex features that make it a perfect match for connectivity in autonomous and connected vehicle platforms and applications.
The webcast will last approximately one hour.
Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at PrismTech where he directs the technology strategy, planning, evolution, and evangelism. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group and serves on the Architecture Board. Angelo is a widely known and cited expert in the field of real-time and distributed systems, middleware, and software patterns, has authored several international standards and enjoys over 10+ years of experience in technology management and design of high performance mission- and business-critical distributed systems. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.